Create vibrant mosaic images within ComfyUI by generating label images and utilizing lookup tables for colorization.
- Supports multiple clustering algorithms including K-Means, Mean Shift, and Watershed for image segmentation.
- Allows for the application of random or Matplotlib-generated lookup tables to enhance the colorization of label images.
- Facilitates advanced image processing techniques like img2img with denoising for refined output quality.
Context
This tool, ComfyUI-Mosaica, is an extension designed for the ComfyUI framework that enables users to create colorful mosaic images. It achieves this by computing label images through various clustering algorithms and then applying lookup tables to colorize these images effectively.
Key Features & Benefits
The extension offers several practical features that enhance image processing workflows in ComfyUI. Users can choose from multiple clustering methods, each with its own strengths: K-Means for quick results, Mean Shift for automatic cluster determination, and Watershed for images with high intensity variation. The ability to apply both random and predefined lookup tables allows for diverse colorization options, improving the overall aesthetic of the generated mosaics.
Advanced Functionalities
ComfyUI-Mosaica includes specialized capabilities such as the img2img processing with light denoising, which helps in blending the colors from the label images with the underlying content. This feature is particularly useful for achieving smoother transitions and more visually appealing results. Additionally, the tool plans to implement features like loading LUTs from files and adding support for Segment Anything labels, which will further enhance its versatility.
Practical Benefits
This tool significantly streamlines the workflow for users of ComfyUI by providing efficient methods for image segmentation and colorization. The integration of various clustering algorithms allows for greater control over the segmentation process, while the lookup table application enhances the quality and creativity of the final images. Overall, it improves the efficiency and output quality of artistic endeavors within the ComfyUI environment.
Credits/Acknowledgments
The tool is developed by Mason McGough and is available under an open-source license, encouraging contributions and improvements from the community.